From missing data to informative GPA predictions: Navigating selection process beliefs with the partial identifiability approach

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dc.catalogadorvzp
dc.contributor.authorAlarcón Bustamante, Eduardo Sebastián
dc.contributor.authorGonzález Burgos, Jorge Andrés
dc.contributor.authorTorres Irribarra, David Esteban
dc.contributor.authorSan Martin Gutiérrez, Ernesto Javier
dc.date.accessioned2025-03-20T18:48:19Z
dc.date.available2025-03-20T18:48:19Z
dc.date.issued2024
dc.description.abstractThe extent to which college admissions test scores can forecast college grade point average (GPA) is often evaluated in predictive validity studies using regression analyses. A problem in college admissions processes is that we observe test scores for all the applicants; however, we cannot observe the GPA of applicants who were not selected. The standard solution to tackle this problem has relied upon strong assumptions to identify the exact value of the regression function in the presence of missing data. In this paper, we present an alternative approach based on the theory of partial identifiability that considers a variety of milder assumptions to learn about the regression function. Using a university admissions dataset we illustrate how results can vary as a function of the assumptions that one is willing to make about the selection process.
dc.description.funderANID/FONDECYT; Folios de beca: 1230968 y 1240929
dc.fuente.origenSCOPUS
dc.identifier.doi10.1111/bmsp.12377
dc.identifier.eisbn2044-8317
dc.identifier.issn0007-1102
dc.identifier.scopusidSCOPUS_ID:85212932375
dc.identifier.urihttps://doi.org/10.1111/bmsp.12377
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/102890
dc.information.autorucFacultad de Matemáticas; Alarcón Bustamante, Eduardo Sebastián; 0000-0003-3121-483X; 1050996
dc.information.autorucFacultad de Matemáticas; González Burgos, Jorge Andrés; 0000-0003-0415-3795; 15102
dc.information.autorucEscuela de Psicología; Torres Irribarra, David Esteban; 0009-0007-4686-5279; 120988
dc.information.autorucFacultad de Matemáticas; San Martin Gutiérrez, Ernesto Javier; 0000-0001-9812-4746; 1001052
dc.language.isoen
dc.nota.accesocontenido parcial
dc.publisherJohn Wiley and Sons Ltd
dc.revistaBritish Journal of Mathematical and Statistical Psychology
dc.rightsacceso restringido
dc.subjectAcademic performance prediction
dc.subjectIgnorability
dc.subjectInformative assumptions
dc.subjectMissing at random
dc.subjectPredictive validity
dc.subject.ddc610
dc.subject.deweyMedicina y saludes_ES
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleFrom missing data to informative GPA predictions: Navigating selection process beliefs with the partial identifiability approach
dc.typeartículo
sipa.codpersvinculados1050996
sipa.codpersvinculados15102
sipa.codpersvinculados120988
sipa.codpersvinculados1001052
sipa.trazabilidadSCOPUS;2025-01-05
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